Evaluation of Real-Life LoRaWAN Localization: Accuracy Dependencies Analysis Based on Outdoor Measurement Datasets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU147844" target="_blank" >RIV/00216305:26220/22:PU147844 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9817302" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9817302</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/COMM54429.2022.9817302" target="_blank" >10.1109/COMM54429.2022.9817302</a>

Result language

angličtina

Original language name

Evaluation of Real-Life LoRaWAN Localization: Accuracy Dependencies Analysis Based on Outdoor Measurement Datasets

Original language description

Modern outdoor localization is commonly dependent on various Global Navigation Satellite Systems (GNSSs). On the other hand, they are known to be power-hungry and not suitable for resource-constrained devices currently flooding the Industrial Internet of Things (IIoT). Nonetheless, some of those devices may be equipped with Low-Power Wide-Area Network (LPWAN) communication chip that could be utilized for positioning. Current work examines two outdoor datasets collected using LoRa Wan in Brno, Czech Republic, to assess the possibility of applying technology for localization solutions for industrial outdoor scenarios. The main localization approach applied in this is work is k-NN fingerprinting. For the first dataset gathered over the whole city, the minimal mean localization error turned out to be not stable, while accuracy for the second one covering a small rectangular area 8.5×70 m is 6.42 m that sounds promising in terms of LoRaWAN-based localization. Moreover, by analyzing data collected in two independent measurements campaigns, this work provides some derivations related to the accuracy dependencies on parameters of the measurement campaign (gateways (G W s), coverage area, the average distance between measurement points). It makes a step towards comparing the results of published papers in this area obtained for different datasets.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

COMM 2022 - Proceedings: 14th International Conference on Communications

ISBN

9781665494854

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

„“-„“

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

neuveden

Event location

Bukurešť

Event date

Jun 16, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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